Back to Search
Start Over
Impact of factors affecting the residual tumor size diagnosed by MRI following neoadjuvant chemotherapy in comparison to pathology
- Source :
- Journal of Surgical Oncology. 109:158-167
- Publication Year :
- 2013
- Publisher :
- Wiley, 2013.
-
Abstract
- Author(s): Chen, Jeon-Hor; Bahri, Shadfar; Mehta, Rita S; Carpenter, Philip M; McLaren, Christine E; Chen, Wen-Pin; Fwu, Peter T; Hsiang, David JB; Lane, Karen T; Butler, John A; Su, Min-Ying | Abstract: Background and objectivesTo investigate accuracy of magnetic resonance imaging (MRI) for measuring residual tumor size in breast cancer patients receiving neoadjuvant chemotherapy (NAC).MethodsNinety-eight patients were studied. Several MRI were performed during NAC for response monitoring, and the residual tumor size was measured on last MRI after completing NAC. Covariates, including age, tumor characteristics, biomarkers, NAC regimens, MRI scanners, and time from last MRI to operation, were analyzed. Univariate and Multivariate linear regression models were used to determine the predictive value of these covariates for MRI-pathology size discrepancy as the outcome measure.ResultsThe mean (±SD) of the absolute difference between MRI and pathological residual tumor size was 1.0 ± 2.0 cm (range, 0-14 cm). Univariate regression analysis showed tumor type, morphology, HR status, HER2 status, and MRI scanner (1.5 T or 3.0 T) were significantly associated with MRI-pathology size discrepancy (all P l 0.05). Multivariate regression analyses demonstrated that only tumor type, tumor morphology, and biomarker status considering both HR and HER-2 were independent predictors (P = 0.0014, 0.0032, and 0.0286, respectively).ConclusionThe accuracy of MRI in evaluating residual tumor size depends on tumor type, morphology, and biomarker status. The information may be considered in surgical planning for NAC patients.
- Subjects :
- Pathology
medicine.medical_specialty
Multivariate analysis
medicine.diagnostic_test
business.industry
medicine.medical_treatment
Magnetic resonance imaging
Retrospective cohort study
General Medicine
medicine.disease
Breast cancer
Oncology
Bayesian multivariate linear regression
medicine
Biomarker (medicine)
Surgery
business
Pathological
Neoadjuvant therapy
Subjects
Details
- ISSN :
- 00224790
- Volume :
- 109
- Database :
- OpenAIRE
- Journal :
- Journal of Surgical Oncology
- Accession number :
- edsair.doi...........1808d97d6a468045abdc6617d8b1d890